Patents by Inventor Mohamed Elhoseiny

Mohamed Elhoseiny has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Zero-shot event detection using semantic embedding
    Patent number: 10963504
    Abstract: Zero-shot content detection includes building/training a semantic space by embedding word-based document descriptions of a plurality of documents into a multi-dimensional space using a semantic embedding technique; detecting a plurality of features in the multimodal content by applying feature detection algorithms to the multimodal content; determining respective word-based concept descriptions for concepts identified in the multimodal content using the detected features; embedding the respective word-based concept descriptions into the semantic space; and in response to a content detection action, (i) embedding/mapping words representative of the content detection action into the semantic space, (ii) automatically determining, without the use of training examples, concepts in the semantic space relevant to the content detection action based on the embedded words, and (iii) identifying portions of the multimodal content responsive to the content detection action based on the concepts in the semantic space det
    Type: Grant
    Filed: February 13, 2017
    Date of Patent: March 30, 2021
    Assignee: SRI International
    Inventors: Hui Cheng, Jingen Liu, Harpreet Sawhney, Mohamed Elhoseiny
  • ZERO-SHOT EVENT DETECTION USING SEMANTIC EMBEDDING
    Publication number: 20190065492
    Abstract: Zero-shot content detection includes building/training a semantic space by embedding word-based document descriptions of a plurality of documents into a multi-dimensional space using a semantic embedding technique; detecting a plurality of features in the multimodal content by applying feature detection algorithms to the multimodal content; determining respective word-based concept descriptions for concepts identified in the multimodal content using the detected features; embedding the respective word-based concept descriptions into the semantic space; and in response to a content detection action, (i) embedding/mapping words representative of the content detection action into the semantic space, (ii) automatically determining, without the use of training examples, concepts in the semantic space relevant to the content detection action based on the embedded words, and (iii) identifying portions of the multimodal content responsive to the content detection action based on the concepts in the semantic space det
    Type: Application
    Filed: February 13, 2017
    Publication date: February 28, 2019
    Inventors: Hui Cheng, Jingen Liu, Harpreet Sawhney, Mohamed Elhoseiny